Olympia Financial Group Stock Statistic Functions Linear Regression

OLY Stock  CAD 106.35  3.81  3.72%   
Olympia Financial statistic functions tool provides the execution environment for running the Linear Regression function and other technical functions against Olympia Financial. Olympia Financial value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Linear Regression function function is designed to identify and follow existing trends. Olympia Financial statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Execute Function
Illegal number of arguments. The output start index for this execution was zero with a total number of output elements of zero. The Linear Regression model generates relationship between price series of Olympia Financial and its peer or benchmark and helps predict Olympia Financial future price from its past values.

Olympia Financial Technical Analysis Modules

Most technical analysis of Olympia Financial help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Olympia from various momentum indicators to cycle indicators. When you analyze Olympia charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Olympia Financial Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Olympia Financial Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of Olympia Financial Group based on widely used predictive technical indicators. In general, we focus on analyzing Olympia Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Olympia Financial's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Olympia Financial's intrinsic value. In addition to deriving basic predictive indicators for Olympia Financial, we also check how macroeconomic factors affect Olympia Financial price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Dividend Yield0.05930.04580.06040.0507
Price To Sales Ratio2.322.332.312.2
Hype
Prediction
LowEstimatedHigh
101.57102.65103.73
Details
Intrinsic
Valuation
LowRealHigh
100.48101.56102.64
Details
Naive
Forecast
LowNextHigh
100.20101.28102.36
Details
Earnings
Estimates (0)
LowProjected EPSHigh
1.651.651.65
Details

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Olympia Financial pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Olympia Financial position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Olympia Financial will appreciate offsetting losses from the drop in the long position's value.

Olympia Financial Pair Trading

Olympia Financial Group Pair Trading Analysis

The ability to find closely correlated positions to Olympia Financial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Olympia Financial when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Olympia Financial - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Olympia Financial Group to buy it.
The correlation of Olympia Financial is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Olympia Financial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Olympia Financial moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Olympia Financial can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Olympia Stock

Olympia Financial financial ratios help investors to determine whether Olympia Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Olympia with respect to the benefits of owning Olympia Financial security.